Results 241 to 250 of about 11,335 (296)

Low-sample supervised fault diagnosis for fixed-wing UAVs based on multi-scale adaptive state-aware sequence learning. [PDF]

Front Plant Sci
Li M, Zhu LX, Yan J, Zhang JT, Fan HF, Liu SJ, Gao M.   +6 more
europepmc   +1 more source

An On-Board Shock Absorber Detection Method for General Aviation Aircraft Landing Gears. [PDF]

Sensors (Basel)
Li C, Li H, Shen Z.
europepmc   +1 more source

Optical Microscopy for High-Resolution IPMC Displacement Measurement. [PDF]

Sensors (Basel)
Minas D, Tsiakmakis K, Hatzopoulos AT, Tsintotas KA, Vassios V, Papadopoulou MS.   +5 more
europepmc   +1 more source

Logistics equipment condition monitoring and prediction based on digital twin and machine learning. [PDF]

Sci Rep
Han F, Liu L, Sun J.
europepmc   +1 more source

Software effort prediction using regression rule extraction from neural networks. [PDF]

Martens, David, Setiono, Rudy, Baesens, Bart, Verbeke, Wouter, Dejaeger, Karel   +4 more
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A study on software fault prediction techniques

Artificial Intelligence Review, 2017
Software fault prediction aims to identify fault-prone software modules by using some underlying properties of the software project before the actual testing process begins.
Santosh Singh Rathore, Sandeep Kumar
exaly   +2 more sources

Class level fault prediction using software clustering

2013 28th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2013
Defect prediction approaches use software metrics and fault data to learn which software properties associate with faults in classes. Existing techniques predict fault-prone classes in the same release (intra) or in a subsequent releases (inter) of a subject software system.
Giuseppe Scanniello, GRAVINO, Carmine, Andrian Marcus, Tim Menzies, SCANNIELLO, Giuseppe   +4 more
openaire   +3 more sources

Important Issues in Software Fault Prediction

, 2014
Quality assurance tasks such as testing, verification and validation, fault tolerance, and fault prediction play a major role in software engineering activities. Fault prediction approaches are used when a software company needs to deliver a finished product while it has limited time and budget for testing it.
Golnoush Abaei, Ali Selamat
openaire   +2 more sources

Software fault prediction metrics: A systematic literature review

Information and Software Technology, 2013
Context: Software metrics may be used in fault prediction models to improve software quality by predicting fault location. Objective: This paper aims to identify software metrics and to assess their applicability in software fault prediction.
Richard Torkar, Ales Zivkovic
exaly   +2 more sources

Empirical analysis of change metrics for software fault prediction

Computers and Electrical Engineering, 2018
A quality assurance activity, known as software fault prediction, can reduce development costs and improve software quality. The objective of this study is to investigate change metrics in conjunction with code metrics to improve the performance of fault
Sandeep Kumar, , Alok Mishra
exaly   +2 more sources